Statistical Methods and Applications

Papers
(The TQCC of Statistical Methods and Applications is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up29
Semiautomatic robust regression clustering of international trade data24
Bayesian local bandwidths in a flexible semiparametric kernel estimation for multivariate count data with diagnostics19
Nonparametric directional testing for multivariate problems in conjunction with a closed testing principle17
Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data17
Double-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys15
When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy13
Correction: Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification13
On the interpretation of inflated correlation path weights in concentration graphs12
Support provided by elderly in Italy: a hierarchical analysis of ego networks controlling for alter–overlapping12
School climate and academic performance of Italian students: the role of disciplinary behaviour and parental involvement8
Effective transfer entropy to measure information flows in credit markets8
Alternative fixed-effects panel model using weighted asymmetric least squares regression8
Statistical matching of sample survey data: application to integrate Iranian time use and labour force surveys7
The inextricable association of measurement errors and tax evasion as examined through a microanalysis of survey data matched with fiscal data: a case study7
Estimating regional unemployment with mobile network data for Functional Urban Areas in Germany7
Learning social networks from text data using covariate information6
Correction to: Using sentiment analysis to evaluate the impact of the COVID-19 outbreak on Italy’s country reputation and stock market performance6
Inference for non-probability samples under high-dimensional covariate-adjusted superpopulation model5
Comparing fundraising campaigns in healthcare using psychophysiological data: a network-based approach5
Quantile regression in random effects meta-analysis model5
Group penalized expectile regression5
Chunk-wise regularised PCA-based imputation of missing data5
Does education protect families' well-being in times of crisis? Measurement issues and empirical findings from IT-SILC data5
Semi-supervised sentiment clustering on natural language texts5
Exact parametric causal mediation analysis for a binary outcome with a binary mediator4
Estimating causal effects of community health financing via principal stratification4
Robust adaptive LASSO in high-dimensional logistic regression4
Understanding relationships with the Aggregate Zonal Imbalance using copulas4
Estimation and decomposition of food price inflation risk4
Weighted stochastic block model4
Model-assisted calibration with SCAD to estimated control for non-probability samples4
Queue hurdle Coxian phase-type model for two-stage process of population-based cancer screening4
When did coronavirus arrive in Europe?4
A finite mixture approach for the analysis of digital skills in Bulgaria, Finland and Italy: the role of socio-economic factors4
Hypothesis tests of indirect effects for multiple mediators3
A clustering procedure for mixed-type data to explore ego network typologies: an application to elderly people living alone in Italy3
Group penalized quantile regression3
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma3
Perceived climate change risk and global green activism among young people3
Clustering of mortality paths with the Hellinger distance and visualization through the DISTATIS technique3
Dual frame design in agricultural surveys: reviewing roots and methodological perspectives3
Bayesian network structural learning from complex survey data: a resampling based approach3
Impact measurement and dimension reduction of auxiliary variables in calibration estimator using the Shapley decomposition3
Multiplexity analysis of networks using multigraph representations3
A multilevel structured latent curve model for disaggregating student and school contributions to learning3
A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy3
A simple yet efficient method of local false discovery rate estimation designed for genome-wide association data analysis3
Partial least square based approaches for high-dimensional linear mixed models2
Forecasting multidimensional autoregressive time series model with symmetric $$\alpha$$-stable noise using artificial neural networks2
Longitudinal mediation analysis through generalised linear mixed models: a comparison of maximum-likelihood and Bayesian estimation2
Locating $$\gamma$$-ray sources on the celestial sphere via modal clustering2
Monitoring road infrastructure from satellite images in Greater Maputo2
Clustering alternatives in preference-approvals via novel pseudometrics2
Modelling interaction patterns in a predator-prey system of two freshwater organisms in discrete time: an identified structural VAR approach2
The Relative Fit measure for evaluating a blockmodel2
Gauging Airbnb review sentiments and critical key-topics by small area estimation2
Addressing topic modelling via reduced latent space clustering2
A robust approach for inference on style analysis coefficients2
Prediction in non-sampled areas under spatial small area models2
Online job ads in Italy: a regional analysis of ICT professionals2
A maximum statistic for the one-sided location-scale alternative in the two-stage design2
Influence measures in nonparametric regression model with symmetric random errors2
A comparison between VAR processes jointly modeling GDP and Unemployment rate in France and Germany2
robROSE: A robust approach for dealing with imbalanced data in fraud detection2
Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation2
Sequential adaptive strategies for sampling rare clustered populations2
Online network monitoring2
A dynamic network model to measure exposure concentration in the Austrian interbank market2
A new Bayesian discrepancy measure2
Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors2
Longitudinal latent overall toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models2
Point and probabilistic forecast reconciliation for general linearly constrained multiple time series2
A network analysis of student mobility patterns from high school to master’s2
Special issue on Advanced statistical modeling and causal inference with complex data for better decision making2
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